Evidence map›Paper›PMID 36821385›Full record

ArticleNano letters2023

First Superferromagnetic Remanence Characterization and Scan Optimization for Super-Resolution Magnetic Particle Imaging.

K L Barry Fung, Caylin Colson, Jacob Bryan, Chinmoy Saayujya, Javier Mokkarala-Lopez, Allison Hartley, Khadija Yousuf, Renesmee Kuo, Yao Lu, Benjamin D Fellows and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nano letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Magnetic nanoparticles for cancer theranostics.Biomedical physics & engineering express · 2026
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

K L Barry FungUC Berkeley-UCSF Graduate Group in Bioengineering, University of California Berkeley and University of California San Francisco, https://bioegrad.berkeley.edu/.ORCID 0000-0002-7925-8033
Caylin ColsonUC Berkeley-UCSF Graduate Group in Bioengineering, University of California Berkeley and University of California San Francisco, https://bioegrad.berkeley.edu/.
Jacob BryanDepartment of Bioengineering, University of California Berkeley, Berkeley, California 94720, United States.
Chinmoy SaayujyaDepartment of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, California 94720, United States.
Javier Mokkarala-LopezDepartment of Bioengineering, University of California Berkeley, Berkeley, California 94720, United States.
Allison HartleyDepartment of Bioengineering, University of California Berkeley, Berkeley, California 94720, United States.
Khadija YousufDepartment of Bioengineering, University of California Berkeley, Berkeley, California 94720, United States.
Renesmee KuoDepartment of Bioengineering, University of California Berkeley, Berkeley, California 94720, United States.
Yao LuDepartment of Bioengineering, University of California Berkeley, Berkeley, California 94720, United States.
Benjamin D FellowsDepartment of Bioengineering, University of California Berkeley, Berkeley, California 94720, United States.
Prashant ChandrasekharanDepartment of Bioengineering, University of California Berkeley, Berkeley, California 94720, United States.ORCID 0000-0002-6139-1979
Steven M ConollyDepartment of Bioengineering, University of California Berkeley, Berkeley, California 94720, United States.

Funding

Ten-Fold Resolution Boost for Magnetic Particle Imaging with Applications to Rapid, Non-Invasive Imaging of CAR-T Cell Therapies, Stroke, GI Bleeds and Pulmonary EmbolismsU01EB034694 · NIBIB · UNIVERSITY OF CALIFORNIA BERKELEY · PI STEVEN M CONOLLY · 2023 to 2026
$2.7M
In Vivo Therapeutic Cell Tracking by Advanced Magnetic Particle ImagingR01EB024578 · NIBIB · UNIVERSITY OF CALIFORNIA BERKELEY · PI CONOLLY, STEVEN M · 2017 to 2020
$2.2M
Stem Cell Engineering Training ProgramT32GM098218 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI HEALY, KEVIN EDWARD, SCHAFFER, DAVID V · 2011 to 2020
$1.8M
Color MPI as a novel method for in vivo assessment of magnetic nanoparticle dynamics and bindingR44EB029877 · NIBIB · MAGNETIC INSIGHT, INC. · PI GOODWILL, PATRICK · 2020 to 2021
$1.6M
Magnetic Particle Imaging for High-Resolution Functional Brain ImagingR01EB029822 · NIBIB · UNIVERSITY OF CALIFORNIA BERKELEY · PI CONOLLY, STEVEN M · 2020 to 2020
$815k
NIBIB NIH HHS R01 EB024578NIBIB NIH HHS R01 EB029822NIBIB NIH HHS R44 EB029877NIBIB NIH HHS U01 EB034694NIGMS NIH HHS T32 GM098218
6 · The paper itself

Abstract

Magnetic particle imaging (MPI) is a sensitive, high-contrast tracer modality that images superparamagnetic iron oxide nanoparticles, enabling radiation-free theranostic imaging. MPI resolution is currently limited by scanner and particle constraints. Recent tracers have experimentally shown 10× resolution and signal improvements with dramatically sharper M-H curves. Experiments show a dependence on interparticle interactions, conforming to literature definitions of superferromagnetism. We thus call our tracers superferromagnetic iron oxide nanoparticles (SFMIOs). While SFMIOs provide excellent signal and resolution, they exhibit hysteresis with non-negligible remanence and coercivity. We provide the first quantitative measurements of SFMIO remanence decay and reformation using a novel multiecho pulse sequence. We characterize MPI scanning with remanence decay and coercivity and describe an SNR-optimized pulse sequence for SFMIOs under human electromagnetic safety limitations. The resolution from SFMIOs could enable clinical MPI with 10× reduced scanner selection fields, reducing hardware costs by up to 100×.

Indexed as

Magnetic particle imagingsuperferromagnetismsuperparamagnetic iron oxidesuperresolution

Identifiers

PMID36821385
PMCPMC10790312

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.